Test Bed for Multiagent Control Systems in Road Traffic Management

Road's traffic management is an important topic which is more and more covered by various actors in the Intelligent Transportation Systems field via many proposed solutions. Thus, in order to achieve the dream of a smart city, special attention was given to the treatment of cities' traffic management problem; especially in junctions which constitute bottlenecks for traffic flow leading to a poor quality of urban mobility. The aim of this study is to examine further the RED approach for traffic lights management recently proposed for the design of an adaptive signal control system In the context of ITL (Intelligent Traffic Lights) systems, based generally on sensors, and communication technologies. Traffic management is a well known problematic in data networks. Thus, several researchers have studied methods for providing congestion avoidance at the gateway called also router. Inspired by advanced technologies in Internet traffic management, we propose a system based on the RED (Random Early Detection) mechanism widely used by routers to avoid congestion. Our contribution consists of the adaptation of this mechanism to the ITS context by applying it for traffic lights management. Our system will certainly contribute to decrease waiting times, fuel consumption and pollution. This paper will present the complete adaptation of the RED algorithm to the context of the intelligent transport systems. In addition, the RED-based design performance is compared with that of the pre-timed model to gain insights between the two systems.

The effectiveness of road transportation relies heavily on several factors and the attitude of the road driver to traffic engineering, control and management requirement. It is in the light of the above consideration and context that this study; Road Transport policy and Traffic management in Nigeria, Directorate of Road Traffic Service (DRTS) Federal Capital Territory Abuja in Perspective can conveniently be situated. The study brings into focus for better appreciation, the important roles of the traffic officers in driving test licenses, road worthiness test, enlightenment campaign activities, highway patrol, revenue generation etc which are all important elements in actualizing the policy thrust of the country\'s transport policy of adequacy and safety using both primary and secondary sources of data collection with simple percentage method of analysis and system theory as theoretical underpinning. Conclusion and far reaching recommendations were drawn in the light of the findings with the hope that such will shape the transportation policy process of government. Keywords : Policy; transport; management; traffic JORIND Vol. 6 (1) 2008: pp. 21-21

As the complexity and scale of modern buildings increase, there is a growing need for efficient, scalable, and flexible control systems to manage the myriad of sensors, actuators, and meters involved in building automation. Traditional building management systems (BMS) struggle with scalability, especially when dealing with multi-agent control setups that require extensive manual configuration. This limitation poses significant challenges in deploying advanced control strategies across different building environments, leading to inefficiencies and underutilization of building automation technologies.Previous research has explored various aspects of multi-agent systems (MAS) in building automation, including agent-based modeling, decentralized control strategies, and the application of machine learning to optimize building operations. However, much of the existing work has focused on small-scale implementations or specific applications, such as energy management or HVAC control. The problem of automating the setup of multi-agent control systems to adapt to different building environments with minimal manual intervention remains largely unaddressed.The aim of this work is to develop a scalable framework for the automated setup of multi-agent control systems in buildings. This framework will enable the seamless integration of sensors, actuators, and meters into a unified control system, significantly reducing the need for manual configuration. The framework will leverage large language models (LLMs) for semantic tagging and context understanding, thereby facilitating the automated configuration of action and input spaces for individual agents within the control system.The proposed framework will consist of three key components: (1) an LLM-based system for semantic tagging and context interpretation, (2) an automated setup process for defining the action and input spaces of the agents, (3) and an initial offline training of the agents. The LLM will be trained on a diverse dataset of building management setups to ensure it can accurately tag and interpret various building elements. The system will be tested in real-world office buildings to evaluate its scalability, accuracy, and effectiveness.Preliminary simulations indicate that the automated setup framework can significantly reduce the time and effort required to deploy multi-agent control systems in buildings. We expect that this framework will enable more scalable and flexible building management systems, ultimately leading to improved energy efficiency, occupant comfort, and overall operational performance. The significance of this work lies in its potential to transform the deployment of building automation systems, making advanced control strategies more accessible and cost-effective across various building types and scales.

The research focuses on methods and software tools for decision support for the organization of distributed production of unmanned aerial vehicles (UAVs) based on digital twin and multi-agent systems technologies. The purpose of the work is to provide a critical review of existing approaches to the organization of distributed production of UAVs, as complex technical objects, and to substantiate an approach to building a multi-agent decision support system for the synthesis of a rational production structure based on digital twins of participants in production cooperation. The tasks include: classifying unmanned aerial vehicles according to the main features that determine their production specifics; analysing modern scientific publications in the field of distributed production informatization, multi-agent systems, digital twins and intelligent decision support; identifying the limitations of existing solutions; and proposing an approach to the organization of distributed production of UAVs using digital twins in the form of intelligent agents. The applied methods are based on system and classification analysis, generalization of modern scientific approaches to the organization of production, decision-making theory, the concept of multi-agent systems, digital twin technologies, production logistics and artificial intelligence. The following results were obtained: UAVs were classified by mass, purpose and level of autonomy, which made it possible to determine the specifics of their production and life cycle management. An analysis of scientific publications was performed, which showed the active development of areas related to the use of multi-agent systems, digital twins and artificial intelligence to address complex tasks in UAV life cycle management. It was established, in particular, that the works of recent years consider the issues of cooperative UAV production, the use of deep learning algorithms for decision-making in dynamic environments and the integration of digital twins into relevant production systems. At the same time, a number of limitations on the implementation of existing solutions were identified: insufficient formalization of business processes between production participants, weak integration of digital twins into production logistics, and the lack of self-organization mechanisms. An approach to solving the problem of effective organization of distributed UAV production is proposed. The architecture of a multi-agent decision support system for distributed UAV production is developed, which includes modules for coordination, self-organization, and the evaluation of the effectiveness of production configuration options, considering the initial risk tolerance indicator. Conclusions. The scientific novelty of the results obtained is as follows: an approach to solving the problem of effective organization of distributed UAV production is proposed, which, unlike existing ones, is based on the representation of production participants as digital twins in the form of intelligent agents, this enables the generation of multiple options and the subsequent selection of the most rational configuration for organizing distributed UAV production in terms of business process efficiency and the reduction of production risks. The research results create a basis for further integration of multi-agent technologies into real-world manufacturing platforms and the expansion of their application to other types of complex machinery.

A key difficulty in the design of multi-agent robotic systems is the size and complexity of the space of possible designs. In order to make principled design decisions, an understanding of the many possible system configurations is essential. To this end, we present a taxonomy that classifies multi-agent systems according to communication, computational and other capabilities. We survey existing efforts involving multi-agent systems according to their positions in the taxonomy. We also present additional results concerning multi-agent systems, with the dual purposes of illustrating the usefulness of the taxonomy in simplifying discourse about robot collective properties, and also demonstrating that a collective can be demonstrably more powerful than a single unit of the collective.

In this dissertation, new algorithms for formation control of multi agent systems (MAS) based on continuum mechanics principles will be suggested. For this purpose, agents of the MAS are considered as particles in a continuum, evolving in R^n, whose desired configuration is required to satisfy an admissible deformation function. Considered is a specific class of mappings that are called homogenous where the Jacobian of the mapping is only a function of time and is not spatially varying. The primary objectives of this dissertation are to develop the necessary theory and its validation on a mobile-agent based swarm test bed that includes two primary tasks: 1) homogenous transformation of MAS and 2) deployment of a random distribution of agents on a desired configuration. Developed will be a framework based on homogenous transformations for the evolution of an MAS in an n-dimensional space (n=1,2, and 3), under1) no inter-agent communication (predefined motion plan), 2) local inter-agent communication, and 3) intelligent perception by agents. In this dissertation, different communication protocols for MAS evolution that are based on certain special features of a homogenous transformation will be developed. It is also aimed to deal with the robustness of tracking of a desired motion by an MAS evolving in R^n. Furthermore, the effect of communication delays in an MAS evolving under consensus algorithms or homogenous maps is investigated. In this regard, the maximum allowable communication delay for MAS evolution is formulated on the basis of eigen-analysis.

Developing A Multi-Agent System in JADE for Information Management in Educational Competence Domains

Nowadays developing methods for distributed computing is received much attention. One of the methods of distributed computing is using of multi-agent systems. The organization of distributed computing based on the conventional network computers can experience security threats performed by computational processes. Authors have developed the unified agent algorithm of control system of computing network nodes operation. Network PCs is used as computing nodes. The proposed multi-agent control system for the implementation of distributed computing allows in a short time to organize using of the processing power of computers any existing network to solve large-task by creating a distributed computing. Agents based on a computer network can: configure a distributed computing system; to distribute the computational load among computers operated agents; perform optimization distributed computing system according to the computing power of computers on the network. The number of computers connected to the network can be increased by connecting computers to the new computer system, which leads to an increase in overall processing power. Adding multi-agent system in the central agent increases the security of distributed computing. This organization of the distributed computing system reduces the problem solving time and increase fault tolerance (vitality) of computing processes in a changing computing environment (dynamic change of the number of computers on the network). Developed a multi-agent system detects cases of falsification of the results of a distributed system, which may lead to wrong decisions. In addition, the system checks and corrects wrong results.

This paper illustrates intelligent control in complex networks by the example of road traffic management. An important goal in road traffic management, which as yet has been achieved only very partially, is to make the move from local traffic management to network level traffic management. The approach to this goal described here is a combination of top-down control and several bottom-up control mechanisms: top-down control consists of off-line preparation of control scenario's that apply to certain traffic patterns. The bottom-up mechanisms rely on emergent behavior of multi-agent systems: one set of agents is formed by the vehicles, a second set is formed by the nodes and links of the road network. The approach can to a certain extent be generalized to other types of complex networks.

The MAS (Multi-Agent System) theory is already widely applied to the mechanical machining, especially the study on the robot. This paper puts forward a multi-Agent alliance control model that is made up of the series robot Agent, the parallel moving platform Agent and the polishing tool system Agent and so on by the MAS theory. Through the introduction of point-curve constraint, the dynamics of the constraint multi-rigid body equation for the polishing system is established in order to accurately program the moving track of the robots. Meanwhile, the control parameters during the polishing can be optimized. The satisfied polishing effect on the curved surfaces can be obtained and the demand of the polishing can be achieved by the MAS.

Software agents for knowledge management: coordination in multi-agent supply chains and auctions

A smart city is an urban agglomeration which capitalises on information technologies (IT) and artificial intelligence (AI) facilities to offer special services to its community and visitors. These range from more complex services such as energy production, road traffic management, civil security and territorial administration, to simpler services such as household waste management or free Internet in parks, libraries, shopping centres and other public places. To achieve this integration of management, an important step is to install sensors that are essential for collecting data. The collection of information to manage sensitive infrastructure via IT services comes with security risks, however. The impact of cyber security breach risks linked to these data collection activities and storage can be dramatic, depending on the type of service: power plants, water management systems, automated or driverless trains, vehicle traffic management systems, etc. These types of service, due to IT and AI evolution, are increasingly the victim of attacks by cyber criminals, especially the industrial control system (ICS)/supervisory control and data acquisition (SCADA) and smart grid networks. These networks are nowadays prime targets for professional hackers, cybercriminal organisations, or even competitors who want access to inside privileged information. To support interest in this type of attack for these networks, we can cite malicious programs such as Stuxnet, Dragonfly and BlackEnergy3, which damaged the Ukraine SCADA network with major consequences for energy production and distribution. Ukrainian energy private companies were victims of the attack, which resulted in total blackouts in at least eight regions of the country. Stuxnet has also been used to destroy a large part of the centrifuges fleet used by Iran for its uranium enrichment programme, etc. The rise of electric vehicle (EV) smart cities is based on smart grid infrastructure and IT — a combination that can lead to increased cyber security risks to the electricity network as well as for fast-charging stations. The purpose of this paper is to identify the most sensitive systems in smart cities, describe potential risks associated with these systems, and propose mitigation mechanisms to reduce associated cyber security risks.

The issue of creating an information security system is very relevant in the world today. One of the urgent tasks is to solve the issues of effective protection of information from both external and internal threats through the creation and implementation of information security management systems in automated systems of enterprises, which, among other things, requires the formalization of the task of protecting information for its subsequent implementation by software and other means. Now there are security analysis systems, for example, that examine the security elements settings of workstations and servers operating systems, analyze the network topology, look for unprotected network connections, examine the settings of firewalls. The disadvantage of these systems is that they are not suitable for monitoring large volumes of network traffic. The solution to this problem is the use of monitoring tools capable of analyzing large amounts of data in real time. Therefore, a significant place in the article is given to the review of developments based on artificial intelligence technologies, namely multi-agent systems, review of information security models, threat risk assessment in automated systems. The functional architecture of the information security management system based on a multi-agent system has been proposed to search in real time for information security optimal solutions through the selection of such coalitions of protection mechanisms agents that will allow to build the optimal protection of the automated system according to the selected criteria. The model with complete overlapping of threats has been substantiated and adopted as a basis, which allows to analyze the overall situation and choose strategically important decisions directly during the organization of information security. The essence of of multi-agent systems functioning that implement a decentralized control system based on the work of autonomous agents that can be implemented programmatically has been revealed. The role of threat agents, resource agents, agents of protection mechanisms and their functional purpose have been defined. The problem of searching a set of protection mechanisms agents coalition for the current state of the automated system as a problem of optimal search by the criterion of protection cost, taking into account the value of information, has been generalized. Due to the modularity of the multi-agent system, the further work will be aimed at detailing its components and perfection.

Important indicators of sustainable development of living space in urban settlements (city, town, settlements) include, in particular, the number of road accidents on the street and road network. For the last three years, the Kyiv Municipal Company Traffic Management Center has been developing and implementing a sophisticated approach to the Road Traffic Management in Kyiv (Ukraine). The approach proposed is possible when using a modern Geographic Information System (GIS) technologies, spatial databases, web-cartography. The paper describes the company had carried case study using the pilot project for studying the possibilities of developing General City' Road Traffic Management Scheme and further implementation in processes of planning, analysis and making decisions in the Road Traffic Management activities and processes.

This work proposes a residential load management system using multiagent technology with the objective of cost and comfort management. Smart appliances in a residential unit are modelled as agents which are controlled using optimization algorithm. These agents cooperate and communicate with each other using agent communication language (ACL) to reduce electricity cost and high peaks without affecting end user comfort. In this regards, different types of agents including load agents, price agent, temperature agent, management agent and optimal stopping rule (OSR) agent are considered. To make agent behaviour intelligent and adaptive, OSR is used. Simulations are conducted to provide the overview of residential load management using multiagent system (MAS). Simulation results show the effectiveness of MAS in terms of electricity cost, user comfort and peak shaving.